{"id":"W2590661915","doi":"10.1200/jco.2014.32.30_suppl.129","title":"CANES family health team EMR optimization pilot.","year":2014,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario","funders":"","keywords":"Workflow; Medicine; Health care; Best practice; Leverage (statistics); Standardization; Teamwork; Medical education; Nursing; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01026498,0.0004791775,0.0003482327,0.000672499,0.00301286,0.001123229,0.001319478,0.001070082,0.028669],"category_scores_gemma":[0.02378527,0.0006518554,0.0005556205,0.0005505856,0.0005747311,0.0008331072,0.002787378,0.001586755,0.005402791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006687945,"about_ca_system_score_gemma":0.02391751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1257096,"about_ca_topic_score_gemma":0.2157439,"domain_scores_codex":[0.9947572,0.002352895,0.000374044,0.0004352102,0.001070747,0.001010007],"domain_scores_gemma":[0.9820533,0.00419671,0.0008091352,0.001837575,0.00686278,0.004240418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007799911,0.02644716,0.09266932,0.002363556,0.0001433953,0.004336173,0.04473954,0.003385648,0.01083683,0.002748908,0.2477485,0.5567811],"study_design_scores_gemma":[0.005485018,0.03251284,0.2883231,0.001301047,0.000250815,0.001771557,0.05018039,0.01106011,0.01327119,0.00192144,0.5936316,0.0002910065],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8051797,0.0004212258,0.01382133,0.01398154,0.0006823431,0.04038288,0.01465547,0.004095157,0.1067804],"genre_scores_gemma":[0.767474,0.0006181906,0.0909145,0.006270759,0.0001751202,0.04456118,0.0137051,0.0007114176,0.07556978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1257096,"threshold_uncertainty_score":0.2499558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.501833181321445,"score_gpt":0.6245548490820877,"score_spread":0.1227216677606426,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}